Journal article | Zeitschriftenartikel
Structural estimation of jump-diffusion processes in macroeconomics
This paper shows how to solve and estimate a continuous-time dynamic stochastic general equilibrium (DSGE) model with jumps. It also shows that a continuous-time formulation can make it simpler (relative to its discrete-time version) to compute and estimate the deep parameters using the likelihood function when non-linearities and/or non-normalities are considered. We illustrate our approach by solving and estimating the stochastic AK and the neoclassical growth models. Our Monte Carlo experiments demonstrate that non-normalities can be detected for this class of models. Moreover, we provide strong empirical evidence for jumps in aggregate US data.
- Extent
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Seite(n): 196-210
- Language
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Englisch
- Notes
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Status: Postprint; begutachtet (peer reviewed)
- Bibliographic citation
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Journal of Econometrics, 153(2)
- Classification
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Estimation: General
- Subject
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Wirtschaft
Wirtschaftsstatistik, Ökonometrie, Wirtschaftsinformatik
Volkswirtschaftslehre
- Event
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Geistige Schöpfung
- (who)
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Posch, Olaf
- Event
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Veröffentlichung
- (where)
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Niederlande
- (when)
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2009
- DOI
- URN
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urn:nbn:de:0168-ssoar-255082
- Rights
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GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
- Last update
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21.06.2024, 4:27 PM CEST
Data provider
GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln. If you have any questions about the object, please contact the data provider.
Object type
- Zeitschriftenartikel
Associated
- Posch, Olaf
Time of origin
- 2009